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Tech Stack
Tools & technologiesDistributed SystemsETLJavaScriptNode.jsPostgresPythonTypeScript
About the role
Key responsibilities & impact- Designing and implementing data models to support AI-driven applications
- Developing scalable data pipelines using Supabase, Prisma, and event-driven architectures
- Supporting backend teams in database architecture, query optimization, and API development
- Investigating and implementing prompt engineering techniques for AI model optimization
- Researching and applying machine learning technologies to extract and process enterprise data
- Ensuring data integrity, security, and performance across distributed systems
- Collaborating with AI engineers to integrate foundation models into enterprise workflows
- Writing clean, testable, and well-documented code for data infrastructure and services
Requirements
What you’ll need- Strong expertise in data modeling, database design, and backend architecture
- Experience with Supabase, Prisma, PostgreSQL, and event-driven architectures
- Knowledge of ETL pipelines, data warehouses, and real-time data processing
- Familiarity with prompt engineering and machine learning frameworks
- Experience integrating AI models into backend systems (e.g., OpenAI, Cohere, Anthropic)
- Proficiency in Python and TypeScript/Node.js for backend support
- Strong problem-solving skills and a passion for AI-driven automation
Benefits
Comp & perks- Remote-first with options for hybrid work in Germany
- Start Date: ASAP
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelingdatabase designbackend architectureETL pipelinesdata warehousesreal-time data processingprompt engineeringmachine learningPythonTypeScript
Soft Skills
problem-solvingcollaborationcommunication
